Ildikó Kasza
Impact in
- Aging top 10%
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Adipose Tissue and Metabolism 6
- Surgery 4
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Caroline M. Alexander (11 shared papers)Ormond A. MacDougald (5 shared papers)Diego Hernando (3 shared papers)Scott B. Reeder (2 shared papers)Nicole E. Cummings (1 shared paper)Sebastian I. Arriola Apelo (1 shared paper)Michael D. Schaid (1 shared paper)Deyang Yu (1 shared paper)
- Journals
- JCI Insight (2 papers)Biochemical and Biophysical Research Communications (1 paper)Nature Communications (1 paper)The Journal of Physiology (1 paper)BMC Cell Biology (1 paper)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Ildikó Kasza
15 papers receiving 804 citations
Peers
Comparison fields: 5 of 85
- Aging 29
- Physiology 360
- Rehabilitation 57
- Cell Biology 118
- Endocrine and Autonomic Systems 42
Countries citing papers authored by Ildikó Kasza
This map shows the geographic impact of Ildikó Kasza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ildikó Kasza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ildikó Kasza more than expected).
Fields of papers citing papers by Ildikó Kasza
This network shows the impact of papers produced by Ildikó Kasza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ildikó Kasza. The network helps show where Ildikó Kasza may publish in the future.
Co-authors
The 25 scholars most cited alongside Ildikó Kasza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 255 | |
| 2 | 2018 | 140 | |
| 3 | 2015 | 93 | |
| 4 | 2014 | 81 | |
| 5 | 2005 | 74 | |
| 6 | 2018 | 45 | |
| 7 | 2012 | 35 | |
| 8 | 2020 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2012 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2009 | 8 | |
| 15 | 2025 | 2 |
About Ildikó Kasza
Ildikó Kasza is a scholar working on Physiology, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 15 papers that have together received 815 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Fatty Acid Research and Health (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Aging (29 citations), Physiology (360 citations), Rehabilitation (57 citations), Cell Biology (118 citations) and Endocrine and Autonomic Systems (42 citations). Ildikó Kasza has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Caroline M. Alexander, Ormond A. MacDougald, Diego Hernando, Scott B. Reeder, Nicole E. Cummings, Sebastian I. Arriola Apelo, Michael D. Schaid, Deyang Yu, Jaclyn A. Wisinski and Elizabeth M. Williams. Their work appears in journals such as JCI Insight, Biochemical and Biophysical Research Communications, Nature Communications, The Journal of Physiology and BMC Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.